File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: An autonomous wearable system for diurnal sweat biomarker data acquisition

TitleAn autonomous wearable system for diurnal sweat biomarker data acquisition
Authors
Issue Date2020
Citation
Lab on a Chip, 2020, v. 20, n. 24, p. 4582-4591 How to Cite?
AbstractTo track dynamically varying and physiologically relevant biomarker profiles in sweat, autonomous wearable platforms are required to periodically sample and analyze sweat with minimal or no user intervention. Previously reported sweat sensors are functionally limited to capturing biomarker information at one time-point/period, thereby necessitating repeated user intervention to increase the temporal granularity of biomarker data. Accordingly, we present a compact multi-compartment wearable system, where each compartment can be activated to autonomously induce/modulate sweat secretion (via iontophoretic actuation) and analyze sweat at set time points. This system was developed following a hybrid-flex design and a vertical integration scheme - integrating the required functional modules: miniaturized iontophoresis interfaces, adhesive thin film microfluidic-sensing module, and control/readout electronics. The system was deployed in a human subject study to track the diurnal variation of sweat glucose levels in relation to the daily food intake. The demonstrated autonomous operation for diurnal sweat biomarker data acquisition illustrates the system's suitability for large-scale and longitudinal personal health monitoring applications.
Persistent Identifierhttp://hdl.handle.net/10722/314010
ISSN
2023 Impact Factor: 6.1
2023 SCImago Journal Rankings: 1.246
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHojaiji, Hannaneh-
dc.contributor.authorZhao, Yichao-
dc.contributor.authorGong, Max C.-
dc.contributor.authorMallajosyula, Mudith-
dc.contributor.authorTan, Jiawei-
dc.contributor.authorLin, Haisong-
dc.contributor.authorHojaiji, Amir M.-
dc.contributor.authorLin, Shuyu-
dc.contributor.authorMilla, Carlos-
dc.contributor.authorMadni, Asad M.-
dc.contributor.authorEmaminejad, Sam-
dc.date.accessioned2022-07-06T11:28:50Z-
dc.date.available2022-07-06T11:28:50Z-
dc.date.issued2020-
dc.identifier.citationLab on a Chip, 2020, v. 20, n. 24, p. 4582-4591-
dc.identifier.issn1473-0197-
dc.identifier.urihttp://hdl.handle.net/10722/314010-
dc.description.abstractTo track dynamically varying and physiologically relevant biomarker profiles in sweat, autonomous wearable platforms are required to periodically sample and analyze sweat with minimal or no user intervention. Previously reported sweat sensors are functionally limited to capturing biomarker information at one time-point/period, thereby necessitating repeated user intervention to increase the temporal granularity of biomarker data. Accordingly, we present a compact multi-compartment wearable system, where each compartment can be activated to autonomously induce/modulate sweat secretion (via iontophoretic actuation) and analyze sweat at set time points. This system was developed following a hybrid-flex design and a vertical integration scheme - integrating the required functional modules: miniaturized iontophoresis interfaces, adhesive thin film microfluidic-sensing module, and control/readout electronics. The system was deployed in a human subject study to track the diurnal variation of sweat glucose levels in relation to the daily food intake. The demonstrated autonomous operation for diurnal sweat biomarker data acquisition illustrates the system's suitability for large-scale and longitudinal personal health monitoring applications.-
dc.languageeng-
dc.relation.ispartofLab on a Chip-
dc.titleAn autonomous wearable system for diurnal sweat biomarker data acquisition-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1039/d0lc00820f-
dc.identifier.pmid33052990-
dc.identifier.scopuseid_2-s2.0-85098459914-
dc.identifier.volume20-
dc.identifier.issue24-
dc.identifier.spage4582-
dc.identifier.epage4591-
dc.identifier.eissn1473-0189-
dc.identifier.isiWOS:000599063600007-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats